Shun John Iwase – Medium

Shun John Iwase

Shun John Iwase
in
Between Real and Ideal

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 4/100

4th thesis is about Batch Normalization (a.k.a BN) which allows us to use high learning rates and be less careful about initialization…

Apr 13, 2018

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 4/100

Apr 13, 2018

Shun John Iwase
in
Between Real and Ideal

Extremely Large Minibatch SGD: Training ResNet-50 on ImageNet in 15 Minutes 3/100

3rd thesis is about Rest-50 training with using extremely large minibatch SGD.

Apr 10, 2018

Extremely Large Minibatch SGD: Training ResNet-50 on ImageNet in 15 Minutes 3/100

Apr 10, 2018

Shun John Iwase
in
Between Real and Ideal

Distributed Second-Order Optimization using Kronecker-Factored Approximations 2/100

2nd thesis is about speeding up training with using K-FAC method instead of SGD.

Apr 10, 2018

Distributed Second-Order Optimization using Kronecker-Factored Approximations 2/100

Apr 10, 2018

Shun John Iwase
in
Between Real and Ideal

Imagenet Training in Minutes 1/100

Just I started challenge to read 100 theses until May 6th. It’s just note to myself. Feel free to quote and make a link to this article.

Apr 10, 2018

Imagenet Training in Minutes 1/100

Apr 10, 2018

Shun John Iwase
in
Between Real and Ideal

About my dream

From this April, I got in the master course of computer science and became a member of the Yokota Lab in Tokyo Institute of Technology…

Apr 8, 2018

About my dream

Apr 8, 2018

Shun John Iwase

Shun John Iwase

Software Engineer / Love Go, Python, C++ / Beginner of HPC and DNN / Imagine Cup World 2017 Japanese Representative

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